Evidence map›Paper›PMID 25099901›Full record

ArticleCancer2014

Quality assurance through quality improvement and professional development in the National Breast and Cervical Cancer Early Detection Program.

Elvira J Siegl, Jacqueline W Miller, Kris Khan, Susan E Harris

Abstract read
In one paragraph

Article in Cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Elvira J SieglMichigan Breast and Cervical Cancer Control Program, Lansing, Michigan.
Jacqueline W Miller
Kris Khan
Susan E Harris

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Quality assurance (QA) is the process of providing evidence that the outcome meets the established standards. Quality improvement (QI), by contrast, is the act of methodically developing ways to meet acceptable quality standards and evaluating current processes to improve overall performance. In the case of the National Breast and Cervical Cancer Early Detection Program (NBCCEDP), the desired outcome is the delivery of quality health care services to program clients. The NBCCEDP provides professional development to ensure that participating providers have current knowledge of evidence-based clinical standards regarding breast and cervical cancer screening and diagnosis and are monitoring women with abnormal screening results for timely follow-up. To assess the quality of clinical care provided to NBCCEDP clients, performance data are collected by NBCCEDP grantees and compared against predetermined Centers for Disease Control and Prevention (CDC) benchmarks known as Data Quality Indicator Guides. In this article, the authors describe 1) the development and use of indicators for QI in the NBCCEDP and 2) the professional development activities implemented to improve clinical outcomes. QA identifies problems, whereas QI systematically corrects them. The quality of service delivery and improved patient outcomes among NBCCEDP grantees has enhanced significantly because of continuous monitoring of performance and professional development. By using QA, NBCCEDP grantees can maximize the quality of patient screening, diagnostic services, and follow-up. Examples of grantee activities to maintain quality of care are also described in this report.

Indexed as

Breast NeoplasmsEarly Detection of CancerFemaleHumansMass ScreeningQuality Assurance, Health CareQuality ImprovementUnited StatesUterine Cervical Neoplasmscancer screeningprofessional developmentprogram performancequality assurancequality improvement

Identifiers

PMID25099901
PMCPMC4459517

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.